Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

Among all the ML classification ... model performance. All ML processes were carried out using Python 3.7 with several essential libraries: Scikit-learn (1.1.3) for implementing machine learning ...

This project involves the classification of handwritten ... a lower-dimensional subspace. The LDA model is trained on the training data, and the training and test data are transformed into the LDA ...

In this paper, using SVM classifier, I build a Multi-label text classification model for Arabic text ... dataset generated the best results with 82.2% accuracy. The model was build using Python.

The domains of these applications include classification and regression problems. Random forest model and gradient boosting model are ... Refer to the below python implementation for the ...